{"id":"W2072693941","doi":"10.1172/jci64398","title":"GSK-3α is a central regulator of age-related pathologies in mice","year":2013,"lang":"en","type":"article","venue":"Journal of Clinical Investigation","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":177,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Heart, Lung, and Blood Institute; National Institute of Dental and Craniofacial Research; Canadian Institutes of Health Research","keywords":"mTORC1; Autophagy; Skeletal muscle; Sarcopenia; Biology; GSK-3; Cell biology; PI3K/AKT/mTOR pathway; Regulator; Senescence; Muscle hypertrophy; Kinase; Glycogen synthase; Endocrinology; GSK3B; Proteostasis; Internal medicine; Signal transduction; Phosphorylation; Medicine; Biochemistry; Gene; Apoptosis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004902813,0.0000729048,0.0002464925,0.00004099015,0.00001358923,0.000005644526,0.0001299348,0.0002594244,0.0000368703],"category_scores_gemma":[0.001102224,0.0000594008,0.0001516829,0.00007414212,0.0003079037,0.00001336381,0.00003143268,0.0002001477,0.000004441865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004309169,"about_ca_system_score_gemma":0.0001072095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001680851,"about_ca_topic_score_gemma":0.000005095765,"domain_scores_codex":[0.9985313,0.0002026562,0.0009455691,0.0001190413,0.00008179367,0.0001196735],"domain_scores_gemma":[0.9989719,0.00006944931,0.000623088,0.0001134746,0.0001360702,0.0000859656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003004207,0.000287631,0.2494581,0.0000385151,0.0001007365,0.000008591308,0.0002970209,0.0002788391,0.7343491,0.0002447095,0.009547302,0.005089025],"study_design_scores_gemma":[0.001173995,0.0007258882,0.9330077,0.00005061718,0.00001918567,0.000009147242,0.0001115505,0.0001365842,0.04702228,0.01738482,0.0002700694,0.00008823157],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981739,0.0002556094,0.0000415919,0.001068919,0.000217077,0.00007796139,0.000001498551,0.000001979618,0.0001614987],"genre_scores_gemma":[0.997897,0.0002077064,0.0009874355,0.0007217865,0.0001038653,0.000001689053,0.00001025667,0.000005344803,0.00006489668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6873268,"threshold_uncertainty_score":0.2422294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03529901623741275,"score_gpt":0.3284804727403359,"score_spread":0.2931814565029232,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}